Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies

1 code implementation • 21 Sep 2021 • Taeyeong Choi, Owen Would, Adrian Salazar-Gomez, Grzegorz Cielniak

Data augmentation can be a simple yet powerful tool for autonomous robots to fully utilise available data for selfsupervised identification of atypical scenes or objects.

Anomaly Detection Data Augmentation +1